Skip to main content

Spatial transcriptomic analysis in python.

Project description

stars pypi downloads docs

Stereopy: Spatial Transcriptomics Analysis in Python

Installation - Quick start - Documentation - API

Stereopy is a fundamental and comprehensive tool for mining and visualization based on spatial transcriptomics data, such as Stereo-seq (spatial enhanced resolution omics sequencing) data. More analysis will be added here, either from other popular tools or developed by ourselves, to meet diverse requirements. Meanwhile, we are still working on the improvement of performance and calculation efficiency.

Discussion

Please use GitHub issues tracker for reports and discussions of:

  • Bug reports
  • Document and data issues
  • Feature requirements
  • ...

Contribution

Stereopy is in a stage of rapid development so that we will carefully consider all aspects of your proposal. We hope future input will be given by both users and developers.

Details to contributing.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stereopy-1.4.0.tar.gz (9.2 MB view details)

Uploaded Source

File details

Details for the file stereopy-1.4.0.tar.gz.

File metadata

  • Download URL: stereopy-1.4.0.tar.gz
  • Upload date:
  • Size: 9.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.8.19

File hashes

Hashes for stereopy-1.4.0.tar.gz
Algorithm Hash digest
SHA256 a28a1276d65942492fdde06bbe05ca94977b4cc46ad4e44197c0da70f568228a
MD5 d9440a5974713128045f1a847746e9e8
BLAKE2b-256 fe0635c82b5e848085ca79d7313dd0553e6b41bf255d22fd10ad8ce1bf6bc64d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page